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Robust estimation of bacterial cell count from optical density

dc.contributor.authorBeal, Jacob
dc.contributor.authorAlonso Conde, Rafael Alejandro
dc.contributor.authorHernández Cifuentes, Rodrigo
dc.contributor.authorSánchez Clemente, Borja
dc.contributor.authorSaiz Gonzalo, Gonzalo
dc.contributor.authorMartín Hernández, Iván
dc.contributor.authorArmero Hernández, Laura
dc.contributor.authorQuero Lombardero, Francisco Javier
dc.contributor.authorMarquina Díaz, Domingo
dc.contributor.authorFernández Rodríguez, Guillermo
dc.contributor.authorAlbert Smet, Ignacio
dc.contributor.authorZhou, Jiajie
dc.date.accessioned2024-08-08T11:22:06Z
dc.date.available2024-08-08T11:22:06Z
dc.date.issued2020
dc.description.abstractOptical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
dc.description.departmentDepto. de Genética, Fisiología y Microbiología
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipNSF's Expeditions in Computing Awards
dc.description.sponsorshipEngineering and Physical Sciences Research Council
dc.description.sponsorshipUnión Europea
dc.description.statuspub
dc.identifier.citationBeal, Jacob, et al. «Robust estimation of bacterial cell count from optical density». Communications Biology, vol. 3, n.º 1, 2020, https://doi.org/10.1038/S42003-020-01127-5.
dc.identifier.doi10.1038/s42003-020-01127-5
dc.identifier.issn2399-3642
dc.identifier.officialurlhttps://doi.org/10.1038/s42003-020-01127-5
dc.identifier.pmid32943734
dc.identifier.relatedurlhttps://www.nature.com/articles/s42003-020-01127-5
dc.identifier.urihttps://hdl.handle.net/20.500.14352/107449
dc.issue.number512
dc.journal.titleCommunications Biology
dc.language.isoeng
dc.page.final29
dc.page.initial1
dc.publisherSpring Nature
dc.relation.projectID(#1522074)
dc.relation.projectIDEP/R034915/1
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/820699/EU
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu579.3
dc.subject.cdu577.3
dc.subject.ucmMicrobiología (Biología)
dc.subject.ucmBioquímica (Biología)
dc.subject.unesco2414 Microbiología
dc.subject.unesco2403 Bioquímica
dc.titleRobust estimation of bacterial cell count from optical density
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number3
dspace.entity.typePublication
relation.isAuthorOfPublication43b86f3b-4c70-49f9-8da8-e94f6b768f1f
relation.isAuthorOfPublicationd779dc78-9841-41f1-9ea5-f5c397c918c0
relation.isAuthorOfPublication.latestForDiscovery43b86f3b-4c70-49f9-8da8-e94f6b768f1f

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